Find your next AI Engineering role

Faire is a technology wholesale platform connecting independent retailers with global product discovery. We are seeking a Staff Product Engineer to join our Discovery Search team (Search FX). This role will be a primary technical architect for our retailer-facing search surfaces, owning the technical roadmap for search, recommendations, and Gen-AI experiences. You will bridge the gap between high-scale infrastructure and user experience, unifying retrieval, ranking, and personalization into a cohesive, high-performance system. You will integrate LLM-powered capabilities, solve complex scale problems, and drive cross-functional impact while mentoring the team.

$231k - $318k

This internship program offers a full-time, in-person opportunity in Berlin for 12 to 24 weeks. Interns will focus on advancing search quality through innovative models, data, and tools. The role involves training and optimizing large-scale deep learning models, with a particular emphasis on retrieval and ranking models. Additionally, interns will conduct research in representation learning, covering areas like contrastive learning, multilingual, evaluation, and multimodal modeling for search and retrieval. A key aspect of the role includes building and optimizing RAG pipelines for enhanced grounding and answer generation.

RevenueCat is seeking a Senior Software Engineer to focus on building advanced AI agents that empower app developers to manage subscriptions and grow revenue. You will work on agentic features that handle orchestration, tool execution, context management, evaluation, and human-in-the-loop controls. This role involves shipping impactful features to thousands of developers and shaping the foundational infrastructure for these AI agents. You will be part of a remote-first team dedicated to customer obsession, shipping, ownership, and balance, working on systems that manage billions of dollars and impact hundreds of millions of users.

$230k - $230k

Taktile is seeking a Senior Full-Stack Engineer to join their Agent team, which is building a platform for creating, publishing, and executing AI-powered agents to automate complex workflows in financial services. This role will involve building and shipping production features across the entire stack, from the agent runtime and tool orchestration layer in the backend to the conversational copilot experiences users interact with daily. You will work alongside experienced engineers, contribute to product impact, and grow your skills in a fast-moving, high-ownership environment.

Parallel Wireless is seeking a driven PHY SW Engineer to join their R&D team. This role will focus on developing advanced, carrier-grade 4G cellular communication solutions, emphasizing performance, reliability, and AI-driven development. The engineer will contribute to building the software behind next-generation cellular networks and shaping the future of telecommunications through innovative and sustainable solutions.

Anthropic

Anthropic's Safeguards organization is responsible for developing the policies, evaluations, and enforcement systems that prevent AI models from causing catastrophic harm. We are seeking a manager to lead our biological safety research engineering team. This team focuses on creating the evaluations, datasets, and classifiers that govern how our models handle biological knowledge. You will guide a team of research scientists and engineers in designing and executing capability evaluations on frontier models, curating safety classifier training data, and training/iterating on these classifiers. Your role involves setting technical direction, making investment decisions, and owning team outcomes, while maintaining technical depth to review designs and analyze failure modes. The team's core challenge is balancing robust safeguards against sophisticated actors with enabling legitimate researchers in the life sciences.

$405k - $485k

NVIDIA is seeking software engineers for the CUDA Tile team to work on a new tile-based programming model for GPUs. This role involves designing and implementing compiler transformations, developing MLIR-based dialects and lowering passes, and optimizing the performance of tile-based kernels across various NVIDIA GPU architectures. The work includes defining public APIs, crafting compiler and optimization techniques, and general software engineering tasks. NVIDIA is a leading technology company transforming computer graphics, PC gaming, and accelerated computing, now focusing on AI to define the next era of computing.

$152k - $242k

We are seeking a Senior Hardware Architect to focus on Reliability, Availability, and Serviceability (RAS) for our Tegra System-on-Chips (SoCs). This role offers the chance to contribute to the AI revolution by defining resilient computing platforms for datacenters, autonomous vehicles, and edge systems. You will be instrumental in defining, driving, and delivering RAS hardware architecture across advanced CPUs and SoCs, guiding features from initial concepts through design, verification, validation, and production readiness. This is an opportunity to make a significant impact in a technology-driven company, working with world-class teams to enhance system resiliency, observability, debuggability, and serviceability.

Nvidia's SOC Design team is seeking an Applied AI Engineer to drive intelligent automation in SOC integration workflows. This role involves building AI-powered tools, agents, and solutions to significantly reduce cycle time and manual effort. You will collaborate with SOCD execution and methodology teams to identify opportunities for AI acceleration, implementing solutions ranging from RAG-grounded knowledge systems and LLM assistants to multi-step agents integrated into internal design infrastructure.

$168k - $311k

Cohere

Cohere is seeking a Forward Deployed Engineer to join their Agentic Platform team. This role focuses on bridging Cohere's North AI workspace platform with enterprise clients, solving complex problems and securely integrating AI into critical sectors. You will be responsible for the design, build, and deployment of agentic workflows powered by LLMs, transforming ambiguous business problems into production-grade AI agents that deliver concrete business value. The work involves close collaboration with customers to build first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources, ensuring reliability, observability, safety, and auditability.

CA$175k - CA$385k

OpenAI

OpenAI is seeking a researcher passionate about understanding deep networks, with a strong background in engineering, quantitative reasoning, and the research process. You will develop and carry out a research plan in mechanistic interpretability, in close collaboration with a highly motivated team. You will play a critical role in helping OpenAI ensure future models remain safe even as they grow in capability. This will make a significant impact on our goal of building and deploying safe AGI. The Interpretability team studies internal representations of deep learning models, aiming to understand model behavior and engineer models with more understandable representations, with a particular focus on ensuring the alignment of powerful AI systems.

$295k - $500k

OpenAI

We are seeking a hands-on Applied AI Engineer with deep cybersecurity experience and a product mindset to help government and national security customers apply frontier AI to critical cyber missions. You will bring practical expertise in areas such as red teaming, vulnerability research, reverse engineering, and threat hunting, ideally developed through work with the defense and intelligence sector. Working directly with cyber operators, security researchers, and engineering teams, you’ll identify high-value applications, write code, build and evaluate AI-powered tools and agentic workflows, and move solutions from prototype into secure operational use. You’ll design architectures using OpenAI models, APIs, and existing security tooling, grounded in customers’ mission requirements and operational constraints. You will collaborate closely with Sales, Solutions Engineering, Applied Research, Product, and Security teams to deliver measurable improvements in cyber capabilities and translate customer experience into better models and products.

$211k - $302k

You will own the end-to-end technical relationship with enterprise customers, translating complex business challenges into high-impact AI solutions built on the Moveworks Platform. This is a customer-facing, field-based role where you will be the primary technical point of contact throughout the full implementation lifecycle, from solution design through launch. You are equally comfortable whiteboarding with a customer's IT team and collaborating with internal engineering and product teams. This role requires regular customer interaction and up to 25% travel.

$191k - $334k

Ambral Labs is building a platform to help enterprises leverage their historical data to improve AI model performance. The system reconstructs past company workflows into replayable environments, allowing for the evaluation and enhancement of agent behavior through reinforcement learning and other post-training techniques. This enables companies to develop better, more cost-efficient AI models that they own and control, rather than relying on third-party providers. Having graduated from YC and secured significant funding, Ambral Labs is now expanding its founding team.

$165k - $325k

Decagon is seeking an AI Acceleration Engineer to build the core systems that power the company and integrate AI into every team's workflow. This hands-on technical role involves extending existing platforms, automating manual processes in areas like billing and collections, and replacing spreadsheet-based operations with robust systems. You will work directly with stakeholders across various departments to identify automation opportunities, design and implement solutions, and ensure their adoption and success. The role requires a strong generalist with a knack for engineering away manual processes and a deep understanding of when to apply AI versus deterministic pipelines.

$180k - $220k

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. This role leads a team of engineers focused on the critical control plane for Anthropic's inference fleet. This involves making key decisions about request routing and capacity allocation to meet throughput, reliability, and latency goals. The team designs placement and load-balancing algorithms, builds quantitative models for demand and performance, and optimizes latency across various system boundaries. The Engineering Manager will guide a team of ML platform, infrastructure, and distributed systems engineers, ensuring the efficiency, reliability, and evolution of the entire request-to-model path.

$405k - $625k

Replit

Replit is seeking an AI Agent Security Architect to be the primary technical authority for the security blueprint of Replit's autonomous and AI agents. This role involves designing, implementing, and maintaining runtime defense systems, guardrail frameworks, and sandboxing architectures for AI agents that execute code and invoke tools on the platform. The successful candidate will lead high-impact AI security initiatives, bridging the gap between AI behavior and cybersecurity controls for both technical and executive audiences.

$0k - $0k

Physical Intelligence is building general-purpose AI for the physical world, developing foundation models and learning algorithms for robots and future devices. As an ML Infra Engineer focused on Data Systems, you will construct and manage the data infrastructure essential for large-scale robot learning. Your work will bridge raw data sources and the training/evaluation phases, ensuring speed, accuracy, and reliability as systems scale. This role is a systems-focused position at the intersection of distributed systems, storage, and machine learning infrastructure.

Physical Intelligence is developing foundation models and learning algorithms to power future physically-actuated devices. In this role, you will be instrumental in scaling and optimizing our training systems and core model code. You will take ownership of critical infrastructure for large-scale training, encompassing GPU/TPU compute management, job orchestration, and the creation of efficient, reusable JAX training pipelines. This position offers a hands-on, high-leverage opportunity at the intersection of machine learning, software engineering, and scalable infrastructure, working closely with researchers and model engineers to translate innovative ideas into production-ready training runs.

Mercor is seeking a Member of Technical Staff to build the backend systems and agent infrastructure for their talent network. A significant portion of Mercor's operations rely on agents for sourcing, screening, matching, and supporting experts with minimal human intervention. This role involves designing and deploying the services that power these agents, including orchestration, tool interfaces, evaluation, and data models for auditable and reversible decisions. This is a hands-on engineering position requiring coding, end-to-end system ownership, and collaboration with product, operations, and AI researchers to define agent functionalities and human involvement. The company is a profitable Series C organization valued at $10 billion, focused on organizing human intelligence to power the AI economy. They are a leading AI data company building the interface between human expertise and advanced AI models, with millions of domain experts earning significant daily income to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work, and Mercor Enterprise extends this infrastructure to Fortune 500 companies.

$160k - $500k

Labelbox is building the critical infrastructure for breakthrough AI models, focusing on data-centric approaches. We offer integrated solutions for frontier AI development, including an Enterprise Platform & Tools for scalable data annotation, a Frontier Data Labeling Service with specialized expertise, and an Expert Marketplace connecting AI teams with skilled annotators. We operate in a high-impact, fast-paced environment that rewards ownership, technical excellence, and continuous learning. This role is central to advancing frontier agent capabilities, bridging the gap between training and infrastructure by building the systems that run experiments, including environments, verifiers, and fine-tuning pipelines. We seek engineers with strong judgment who can set technical direction, build reliable systems quickly, and are at the forefront of agent-first engineering practices.

$250k - $280k

Alignerr, Labelbox's human data organization, is seeking a Forward Deployed Research Scientist to join their team. This role sits at the intersection of research science and client delivery, embedding research capability directly into client engagements. Unlike traditional research roles, you will work on multiple client projects simultaneously, operating on short timescales of days to weeks. You will engage with research teams at major AI labs, reason scientifically about data strategy in real time, fine-tune open-weight models to validate data methodology, and collaborate with the Applied Research team on publications. This fast-paced, applied role offers clear ownership and autonomy, with career growth directly tied to your contributions.

$200k - $300k

Labelbox is seeking a Forward Deployed Engineer to design, develop, and operationalize reinforcement learning (RL) environments. This role involves building sandboxed, reproducible execution environments for AI agents during training and evaluation, such as terminal-based task benchmarks, browser environments, and tool-augmented workspaces. You will write production-quality infrastructure code, integrate with open-source RL tooling, and collaborate with the data operations team to ensure environments are robust and observable. While not a research role, a deep understanding of how RL training loops consume environments and identify bottlenecks is essential.

$140k - $200k

NVIDIA is seeking a motivated system software engineer with deep understanding of device drivers and strong C/C++ skills to work on the CUDA Driver. This role is integral to a team that delivers features and improvements to realize the full potential of NVIDIA hardware for a wide range of computational workloads, including deep learning, scientific computation, data science, self-driving cars, video games, and virtual reality. You will use your design abilities, coding expertise, and creativity to craft elegant solutions to exciting problems and shape the future direction of CUDA by collaborating with peers across NVIDIA.

$152k - $288k

NVIDIA is seeking a Machine Learning Engineer to join the GPU accelerated Apache Spark team. This role involves working with the open-source community to enhance Apache Spark's performance and cost-efficiency on NVIDIA GPUs, enabling enterprises to scale their Spark workloads. You will apply advanced ML/AI techniques to optimize these large-scale data processing applications.

$224k - $357k

Salesforce is seeking a Lead Member of Technical Staff to join the AI Solutions team. This role will focus on building internal products and platforms that enable Salesforce engineers to adopt AI-assisted development safely and effectively. You will be responsible for designing, building, and owning full-stack product and platform capabilities, including desktop applications, backend services, data pipelines, and dashboards. The goal is to translate fast-moving AI developer productivity ideas into reliable software used by thousands of engineers daily, driving innovation and efficiency at scale.

$149k - $260k

Thinking Machines is seeking a Site Reliability Engineer (SRE) to ensure the speed, reliability, and ease of iteration for our post-training and reinforcement learning (RL) systems. This role is akin to production engineering or site reliability, focused on model training infrastructure. You will be responsible for the health of training runs, clusters, and pipelines, working closely with research teams to debug issues in real-time, strengthen infrastructure, and develop tools and automation that allow researchers to focus on scientific discovery rather than job management. This position offers significant ownership, requiring you to be the point person for critical issues during active model runs and to implement solutions preventing future occurrences.

$300k - $350k

Sierra is seeking a Software Engineer Intern to work directly on production AI agents for their customers. This internship offers hands-on experience in designing and developing AI agents, shipping features, and learning from real-world use cases at scale. The role is ideal for individuals eager to contribute to and learn from the rapidly evolving field of AI.

OpenAI

OpenAI is seeking dedicated and curious individuals to join its User Operations team as an AI Support Engineer. This role is crucial in supporting public sector customers, including U.S. Government agencies, by troubleshooting complex issues and ensuring their successful adoption of OpenAI's AI products. You will act as a trusted expert and a critical escalation point, partnering closely with customers and Engineering teams to resolve technical challenges. Beyond issue resolution, you will help define the future of AI-driven support by leveraging automation and AI technologies to improve systems, reduce bugs, and elevate the customer experience. This role involves working directly with customers through support tickets and live calls, often resolving novel and ambiguous technical problems in a fast-paced environment. Your work will directly support mission-critical systems built on OpenAI's platform, serving as a vital line of defense for large-scale operations.

$162k - $234k

OpenAI

OpenAI is seeking dedicated, experienced, and deeply curious individuals to join its User Operations team as an AI Support Engineer. This role is crucial in helping customers adopt AI and ensuring an exceptional product experience, acting as the first post-AGI support team. You will work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in a rapidly evolving environment. Your work will directly support mission-critical systems built on OpenAI's platform, serving as a critical line of defense for large-scale operations. Beyond resolving technical issues, you will help define world-class support for the future, partnering with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience by leveraging automation, agents, and AI technology.

$180k - $260k

Sierra is a leading platform for customer-facing AI agents, partnering with major brands to transform customer service and business growth. We are primarily an in-person company based in San Francisco, with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family. Our co-founders bring extensive experience from leading tech companies like Salesforce, Facebook, and Google, with one co-founder currently serving as Board Chair of OpenAI.

$150k - $180k

The Data Engineer, Data Platform will be responsible for building and operating data capabilities that enable AHEAD teams to access trusted, usable, and well-managed information. This role involves developing ingestion pipelines, transformations, data models, and curated data products within a modern cloud data platform, with a focus on Snowflake and dbt. The position will support data from enterprise applications and services like Salesforce, Hatch, NetSuite, Signal, and approved APIs, making data available for analytics, applications, automation, and AI-enabled workflows through consistent engineering patterns, documented definitions, appropriate access controls, and dependable operational practices. A core expectation is the active use of AI throughout the software development lifecycle, including AI-assisted code generation, automated testing, documentation, troubleshooting, and review with human validation.

$150k - $180k

OpenAI

We are seeking a Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting our enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio. You will help your team identify high-value opportunities, design and deploy production-grade AI systems, navigate complex technical and organizational constraints, and expand successful implementations across workflows, teams, and business units. This role requires technical depth, people leadership, customer judgment, and operational rigor. You should be comfortable coaching engineers through architecture and evaluation decisions, engaging directly in high-stakes customer situations, and collaborating with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal.

$251k - $335k

OpenAI

OpenAI is seeking an Applied AI Engineering Manager for its Startups team. This role will lead and scale efforts to help high-growth startups move from experimentation to production, unlock significant usage, and build strong technical partnerships. The manager will operate in a fast-paced environment, working closely with founders, CTOs, and technical teams, requiring speed, sound judgment, and hands-on problem-solving. The position involves balancing team leadership, technical expertise, customer prioritization, and cross-functional collaboration with Sales, Product, Engineering, and Research teams. The core responsibility is to define how OpenAI supports startup customers at scale, identifying opportunities for deep technical engagement, building repeatable deployment processes, and ensuring the team can serve a diverse customer base effectively.

$302k - $335k

Thinking Machines is building AI that extends human will and judgment, and we're looking for individuals passionate about creating a human-centric future. In this role, you will design and build an end-to-end evaluation platform crucial for developing frontier AI systems. This platform will empower researchers to easily author, run, and analyze model evaluations at scale, supporting both standardized benchmarks and internal research needs. You will collaborate closely with various teams to enhance how we evaluate models and translate results into research decisions.

$300k - $350k

Thinking Machines is building AI to extend human will and judgment, developing frontier models and crafting interfaces for human-AI communication. We are seeking a Software Engineer to join our full-stack team, which works closely with researchers to build systems that accelerate research and engineering velocity. You will own key parts of our internal platform, including evaluation and training libraries, experiment-tracking systems, and visualization tools. This role involves identifying researcher bottlenecks and transforming them into reliable, generalizable systems, requiring strong technical judgment, cross-functional collaboration, and product intuition. Success means building systems that researchers trust, rely on daily, and find delightful to use.

$300k - $350k

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are looking for a Verification Engineer, Compute Performance to join our Compiler Verification Team. What you’ll be doing: - Analysis: Analyze performance degradation or functional defect of compilers, identify regression root cause, suggest corrective action, and perform reviews to continuously improve testing. - Test Automation: Automate compiler testing using NVIDIA test frameworks and by programming. Includes test execution, test reporting, and results analysis and automation of build and test environments. Work with software compiler developers and assist in providing automated solutions for unit testing. - Test Operations: Utilize test suites to find, report and track compiler performance changes. Work with development team to drive regressions to resolution. Generate statistics based on performance data, identify and investigate outliers and monitor performance trends. Maintain historical data and baselines for comparison. - Compiler Test Development: Develop and review test plans, implement test cases, automate tests, integrate tests into NVIDIA test management frameworks, port 3rd party testing, and author test reports. May include integrating already existing tests into the compiler test automation. - Process Improvement: Utilize current iterative planning and test development processes. As part of team, identify potential or observed weaknesses in current process, offer ideas for actions that can improve quality, and participate in quality initiatives. What we need to see: - Bachelor’s or Master’s Degree or equivalent experience. - 3+ years’ work experience in a software development or test organization - Excellent communications skills, self-motivated and well organized. - Deep understanding of Software Development Life Cycle (SDLC), High-Performance Computing (HPC), and Software Testing Methodologies. - Compiler Domain Expertise: You should understand how compilers work and how compilers are implemented. Proven strength in problem solving and implement solutions. - Ability to work with various teams to generate a solution for performance regression and be productive under tight schedules, and have strong analytical skills with attention to detail. - Be able to apply existing skills to new situations. Break large problems into smaller problems and further triage difficult performance regressions. - You have experience writing test plans, test development, test automation, test execution and reporting in a production environment. - Programming Languages: Have experience programming and/or testing in C/C++/CUDA as well as scripting languages (Python, Perl, Shell) Ways to stand out from the crowd: - Proficient industry experience in testing production software. Preferably compiler or other system software. - Previous compiler development and/or compiler verification/test or performance analysis experience. - Experience with NVIDIA CUDA Toolkit, especially solving issues and debugging in Linux environment. - Background with revision control software and management tools, such as Git, Perforce, JIRA, Confluence and Make. - Familiarity with statistical analysis tools for identifying and isolating out-of-bound behavior With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 4, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is seeking a motivated systems software engineer with deep understanding of device drivers and strong C/C++ skills to work on the CUDA Driver. This core component accelerates general-purpose computation on the GPU. You will be an integral part of a team delivering features and improvements to realize NVIDIA hardware's potential across diverse workloads, including deep learning, scientific computation, data science, gaming, and virtual reality. You will use your design abilities, coding expertise, and creativity to craft elegant solutions to exciting problems and shape the future direction of CUDA.

$184k - $288k

NVIDIA is seeking a creative and hands-on automation engineer with strong Python development skills and a quality-focused attitude to join our team. This role will focus on improving software quality through thoughtful testing, building and maintaining Python-based automation frameworks, and utilizing AI development tools to accelerate test creation and implementation. You will contribute to both manual and automated test planning and execution for NVIDIA App, a key product in our software suite.

$140k - $270k

NVIDIA is seeking a Senior Software Engineer to advance the C++ foundation of CUDA Core Libraries. This role involves designing and optimizing high-performance algorithms and APIs for C++ developers, contributing to the foundational libraries, algorithms, and language/runtime infrastructure that power CUDA. You will be responsible for the full lifecycle of features, from design and implementation to testing, profiling, and maintenance, ensuring a speed-of-light experience for developers and AI coding agents.

$184k - $357k